Principal Machine Learning Engineer position at S&P Global.| India

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S&P Global Principal Machine Learning Engineer

Experience: 10-years

Pattern: full-time

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Hyderabad, Tel..........India

About the Role: Grade Level (for internal use): 12 The Team: You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML & LLMOps engineers, data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers. S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for ML/MLOps engineers to grow into the next step in their career journey. Responsibilities and Impact: Lead the design, architecture, and implementation of production-grade GenAI services and solutions, ensuring scalability, reliability, and performance. This includes defining technical roadmaps and best practices for the team. Drive the development and evolution of our large-scale, stateful and stateless distributed systems, encompassing infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, and orchestration services. Act as a technical authority and mentor to other engineers on these systems. Champion and lead the development of our MLOps/LLMOps platform and automated pipelines, with a strong focus on deploying, monitoring, and maintaining models in production environments. Define and enforce model governance, cost optimization, and performance monitoring strategies. Collaborate strategically with cross-functional teams (Product, Engineering, Research) to integrate machine learning models into production systems and define new AI-powered product features. Influence product direction based on technical feasibility and ML capabilities. Establish and maintain comprehensive documentation and a robust knowledge base, including development best practices, MLOps/LLMOps processes and procedures. Ensure knowledge sharing and standardization across the team. Provide technical leadership and guidance in the development and implementation of our Enterprise AI platform, proactively identifying opportunities for innovation and improvement. Contribute to the overall AI strategy for the organization. Mentor and guide junior and mid-level ML engineers, fostering their technical growth and development. Basic Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of progressive experience in data science, data analytics, machine learning engineering, or similar roles. 8+ years of relevant experience with: Writing production-level, scalable code with Python. MLOps/LLMOps, machine learning engineering, or a related role. Search and analytics platforms (such as Elasticsearch, Solr, or OpenSearch), SQL and NoSQL database technologies, workflow orchestration tools (including but not limited to Apache Airflow, Prefect, or Dagster), distributed data processing frameworks (such as Apache Spark, Apache Flink, or Dask), streaming platforms (like Apache Kafka, Apache Pulsar, or Amazon Kinesis), cloud-based ML platforms (such as Databricks, AWS SageMaker, or Azure ML), and ML lifecycle management tools (like MLflow, Kubeflow, or Weights & Biases). Experience building with framework technologies (such as LangChain/LangGraph/LangSmith, Haystack, or similar AI application frameworks). Containerization technologies (such as Docker, Podman, or containerd), container orchestration platforms (including but not limited to Kubernetes, Docker Swarm, or OpenShift), cloud platforms (such as AWS, Azure, or Google Cloud Platform), CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps), and workflow orchestration tools. Distributed systems programming, AI/ML solutions architecture, and microservices architecture experience. Additional Preferred Qualifications: 3+ years of experience with operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions. Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions. 1+ year of experience working with RAG pipelines, prompt engineering, and/or Generative AI use cases. Understanding of Agentic AI architecture, including key protocols like MCP, Google A2A. LLM/Model API and inference framework experience. Experience leading technical projects and mentoring junior engineers. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/ratings What’s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:  EEO.Compliance@spglobal.com  and your request will be forwarded to the appropriate person.  US Candidates Only: Know Your Rights: Workplace discrimination is illegal ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group)

Principal Machine Learning Engineer job opportunity at S&P Global.

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